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Optimal Bridge Retrofitting Selection for Seismic Risk Management Using Genetic Algorithms and Neural Network–Based Surrogate Models
Publisher: ASCE
Abstract: This study used genetic algorithms as part of an optimization framework to directly minimize the expected impacts of road network disruption triggered by seismic events. This minimization is achieved by selecting an optimal ...
Deep Learning–Based Retrofitting and Seismic Risk Assessment of Road Networks
Publisher: ASCE
Abstract: Seismic risk assessment of road systems involves computationally expensive traffic simulations to evaluate the performance of the system. To accelerate this process, this paper develops a neural network surrogate model ...
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